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FUNDAMENTALS OF INDUSTRIAL DATA ANALYTICS

ISYE 412
Course Description

Provides an understanding of the fundamentals of using data analytics to make data-driven decisions. Emphasizes applying techniques to industrial engineering problems. Focuses on formulating and solving real industrial problems with the appropriate modeling strategies and analytics principles for better decision making.

Prerequisties

(ISYE 210 , ECE 331 , STAT 311 , STAT 324 , MATH/STAT 309 , MATH/STAT 431 , or MATH 531 ), graduate/professional standing, or member of Engineering Guest Students

Satisfies

This course does not satisfy any prerequisites.

Credits

3

Offered

Fall, Spring

Grade Point Average
3.93

3.09% from Historical

Completion Rate
100%

0.23% from Historical

A Rate
88.24%

9.05% from Historical

Class Size
51

-12.57% from Historical

2025 Fall Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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